特徵詞 的英文怎麼說

中文拼音 [tèzhǐcí]
特徵詞 英文
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  • 特 : Ⅰ形容詞（特殊; 超出一般） particular; special; exceptional; unusual Ⅱ副詞1 （特別） especially; v...
  • 徵 : 名詞[音樂] （古代五音之一 相當于簡譜的「5」） a note of the ancient chinese five tone scale corre...
  • 詞 : 名詞1 （說話或詩歌、文章、戲劇中的語句） speech; statement; lines of play 2 （一種韻文形式 起於唐...
  • 特徵 : characteristic; feature; properties; aspect; trait
  1. Fresh ? new ? original ? creative ? compelling : these are the buzz words 廢話 that all networks and channels want to attach to their offerings because the qualities they enshrine attract viewers … this is where size matters

    鮮活新穎原創創造性引人入勝：所有的網路媒體和頻道都想把這些廢話附加在它們提供的節目上，因為這些詞蘊含的特徵吸引觀眾… …這就是數量要緊之處（指抓到觀眾數量之多對盈利要緊） ！
  2. The statistics are used to establish the dictionaries of organization special words and organization foreside words etc, while those effective rules are given to confirm the left edge of organization names to improve the precision of identification

    根據機構名稱的特點，並參照中文姓名的識別系統，利用統計方法建立了機構名稱特徵詞詞典、前部詞詞典、單詞詞典、雙詞接續詞典，綜合考慮機構名稱上下文以及機構名稱本身的構詞能力，設計並實現了以統計為主的機構名稱識別系統。
  3. We adopt local context analysis to extract characteristic words from the documents retrieved by a user query, then apply subsumption approach and resemble approach in discovering terms relationships. the dynamic knowledge is composed of these extracted terms and term relationships, as well as user ' s feedback information. dors expands user ' s query according to the dynamic kno wledge

    我們採用局部上下文分析法從檢索結果中提取與查詢相關的特徵詞，然後採用包含方法和相似方法判定這些特徵詞之間的相關關系，並利用所提取的概念與概念之間的關系以及用戶的反饋信息動態地構造和更新知識庫。
  4. Chinese title, english title, author, the affiliation and address of the first author, journal title, publication year, volume, issue, page, publication type, check tag, history of medicine, grant type, subject headings, classification code, language, chinese abstract, english abstract, animal variety, dosage forms, pharmacology of chinese herbs, pharmacology, name of disease, diagnosis standard, pathogenesis, trial type, treatment of disease, name of drug and formula, chemical name of medicines, english name of medicines, ingredients and dosage of formula, drug compatibility, usage and dosage, acupuncture and tuina points, acupuncture and tuina manipulation, side effect, therapeutic effect guideline, result of cure, materia medica, chemical structure, physical and chemical properies, effective component, chinese medicine identification, method of processing, pharmaceutical techniques, medicinal action and pharmacological effect, pharmacokinetics, and toxicology

    中文文題、英文文題、作者、第一作者單位、第一作者所在地、期刊名稱、出版年、卷、期、頁碼、文獻類型、特徵詞、醫學史、資助類型、主題詞、關鍵詞、分類號、語種、中文文摘、英文文摘、動物品種、劑型、中藥藥理、西藥藥理、疾病名稱、診斷標準、疾病機理、試驗方法、疾病治療、藥名方名、化學藥名、英文藥名、組成劑量、藥物配伍、用法用量、針推穴位、針推方法、不良反應、療效指標、療效結果、藥材學、化學結構、理化性質、有效成分、中藥鑒定、炮製方法、制藥工藝、藥物作用與藥理效用、藥代動力學、毒理學。
  5. The traditional dht - p2p system has its limitations. it can only perform single keyword search and cannot understand the meanings of users requests

    傳統的dht - p2p系統有一定的局限性，如基於單特徵詞搜索，計算機不理解用戶搜索請求的含義等。
  6. A study into the phenomenon of word formation by shifting tones in tuanfeng dialect

    客家方言特徵詞中的近代漢語詞
  7. And this paper presents a new measure standard of the sense of goodness of some weighting schemes : meta - scoring

    使用這種方法，我們能找出不損失文本有效信息的最小特徵詞語集，並且創造出更為合理權重計算方案。
  8. In this paper, we will propose a method of feature selection and weighting scheme based on text set density, which is a way of measure of contribution to the text set density about some word

    在這篇論文中，我們提出了一種基於文本集密度的特徵詞選擇與權重計算方案的方法。
  9. It adopts the hierachical clustering in vocabulary vsm model because of its special function, on the other hand enriches the subcategory tagging information by rules, it can decrease me data sparse problem, and introduces the confidence intervals into the model for the selection of priority between statistics and rules

    另外還對標注模型從兩方面作了優化，由於詞匯特徵向量的特殊作用，本文對特徵詞匯採用層次聚類來提高其分類精度；另一方面，引入規則來進一步豐富細分類標注信息，減少數據稀疏等問題，並且引入置信度來選擇統計與規則的優先關系。
  10. The first step in nntcs is chinese word segmentation on chinese documents. feature terms are selected from documents. term frequencies of each term are recorded

    在nntcs中，第一步是對中文文檔進行漢語分詞，從文檔中抽出特徵詞，並且統計各特徵詞的詞頻。
  11. 3 、 chinese words divided syncopation technology is the difficulty of the query technique based on phrase. some divided syncopation such as mechanical matching method, feature phrase library method, restriction matrix method, syntax analysis method and comprehended syncopation method are emphasized

    對其中的幾種方法，如機械匹配法（即mm法） 、特徵詞庫法、約束矩陣法、語法分析法和理解切分法等做了詳細的比較和分析，並歸納出各自特點。
  12. In nntcs, we use artificial neural networks ( ann ) as the classifier. the recorded term frequencies form the original feature vector, matching with neurons in the input layer of ann one by one

    系統使用神經網路作為分類器，特徵詞的詞頻組成原始特徵向量，和神經網路輸入層的神經元一一對應。
  13. A study based on association analysis technique of the latent keywords mining in the e - mail filtering

    郵件過濾中基於關聯分析的潛在特徵詞挖掘
  14. Text categorizer based on context of feature words in sentence

    一種基於特徵詞句子環境的文本分類器
  15. 5 hull d a. improving text retrieval for the routing problem using latent semantic indexing. in proc

    即在句子中頻繁同時出現的詞，並將其作為文檔的特徵詞組。
  16. Finally, based on noun phrase reference algorithm and from the aspects of text macro - constitution and micro - constitution, the text topic sentence abstracting algorithm is given and the author does some trial research on the automatic abstract system

    （ 2 ）在名詞性短語的回指已完成的前提下，我們來提取文本的段落、章節以及全文的特徵詞，得到文本段落、章節和全文的特徵詞集。
  17. Text classification techniques mostly rely on single term analysis of the document data set, while more concepts, especially the specific ones, are usually conveyed by set of terms. to achieve more accurate text classifier, more informative feature including frequent co - occurring words in the same sentence and their weights are particularly important in such scenarios

    文本分類技術的關鍵之一在於特徵詞或特徵詞組的選擇，一篇文檔的主題並不是與文檔中的所有的詞相關，因此如何挑選判斷一篇文檔中的主題詞或詞組作為文檔的特徵詞或詞組就成為了關鍵所在。
  18. The ictclas ( chinese accidence analysis system ) developped by institute of computation technology of china academy of science is used to implement chinese automatic word segmentation and tagging. the algorithm of data mining is used to extract meaningful features that represent the main characteristics of the retrieved documents. then, a novel ideal of virtual concept is proposed to organize the extracted features into specific concepts

    用中科院計算所的ictclas漢語詞法分析系統實現中文分詞及標引，並用數據挖掘演算法提取文檔特徵詞條，然後利用本文提出的虛擬概念的思想，將所有特徵詞條組織成更有意義的概念，最後，根據概念間的繼承關系，建立領域自適應概念層次結構，實現了本體論的自動構造。
  19. Characteristic words in guanzhong dialect

    關中方言的特徵詞
  20. The bayesian text categorization based on extraction of effectual features

    一種有效特徵詞發現的貝葉斯文本分類方法
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